Ph. D. Project
Decentralised intelligent control for multi-carrier microgrids applications
2017/10/12 - 2021/02/16
Other supervisor(s):
Pr Pierfederici Serge (
Microgrids (or even smart microgrid) are small power grids designed to provide a reliable power supply to a small number of consumers. They combine multiple local and diffuse production facilities (micro-turbines, fuel cells, photovoltaic panels, mini-wind turbines, small hydro), consumer installations, storage facilities and supervisory and control tools to manage demand.

Classical control designs are based on centralized controls, which are in charge of the energy control in the whole multi-vectors microgrids. This strategy implies the use of a high bandwidth communication system allowing the transmission of information between systems connected to the microgrids and the supervisor. A failure of the supervisor or the communications network leads to the blackout of the microgrids.

To improve availability and reliability of the system and improve tolerance of the system as regard to the integration of new renewable energy sources into the microgrids, the objective of this PhD thesis consists to develop a dedicated power architecture and a decentralized control strategy based on independent controls of each elements (PV plant, wind turbine, PAC, electrolyser, H2 storage, electrochemical storage, loads...).
The operation of the system has to be warranted without communications network and should be adapted following a dedicated strategy taken into account the state of charge of storage elements and/or global efficiency when a communication (even with low bandwidth) will be possible between active systems connected to the multi-carrier microgrids.

As it can be seen, this subject is at the border between electrical engineering science (electrical power architecture, modelling of electrical system, energy management strategies in microgrids) and control science (multi agents systems, distributed control, consensus and cooperative controls). The candidate should have some skills in power electronic and/or control sciences.

Références :

Marcos Cesar Bragagnolo, Irinel-Constantin Morarescu, Jamal Daafouz, Pierre Riedinger. Reset strategy for consensus in networks of clusters, Automatica, Elsevier, 2016, 65, pp.53-63.
Pierre Riedinger and Jean-Claude Vivalda. Dynamic output feedback for switched linear systems based on a LQG design. Automatica, 54:235-245, April 2015
Gaëtan Beneux, Pierre Riedinger, Jamal Daafouz, Louis Grimaud, Robust stabilization of switched affine systems with unknown parameters and its application to DC/DC Flyback converters, accepté à IEEE ACC 2017, Seattle May 2017.

H. Moussa, A. Shahin, J.-P. Martin, S. Pierfederici, and N. Moubayed, "Optimal Angle Droop for Power Sharing Enhancement with Stability Improvement in Islanded Microgrids," IEEE Trans. Smart Grid, early access article, pp. 1-1, 2017

S Sikkabut, P Mungporn, C Ekkaravarodome, N Bizon, P Tricoli, Babak Nahid-Mobarakeh, Serge Pierfederici, Bernard Davat, Phatiphat Thounthong "Control of High-Energy High-Power Densities Storage Devices by Li-ion Battery and Supercapacitor for Fuel Cell/Photovoltaic Hybrid Power Plant for Autonomous System Applications", IEEE Transactions on Industry Applications 52 (5), 4395-4407,2016
H. Renaudineau, F. Donatantonio, J. Fontchastagner, G. Petrone, G. Spagnuolo, J-P. Martin, S. Pierfederici, "A PSO-Based Global MPPT Technique for Distributed PV Power Generation", IEEE trans. Industrial Electronics, vol.62, number 2, pp 1047-1058, 2015
W. Thammasiriroj, V. Chunkag, M. Phattanasak, S. Pierfederici, B.Davat, P. Thounthong, "Nonlinear single-loop control of the parallel converters for a fuel cell power source used in DC grid applications", International Journal of Electrical Power & Energy Systems , february 2015, pp41-48,vol.65
H. Houari, H. Renaudineau, B. Nahid-mobarakeh,J-P. Martin, S. Pierfederici, F. Meibody-Tabar "large signal stability analysis and stabilization of converters connected to grid through LCL filters, ", IEEE Trans. on Industrial Electronics, December 2014, Vol. 61 Number 12 , page(s): 6507-6516
decentralized control, optimisation, consensus and cooperative control, power electronics
Control Identification Diagnosis